Evidence mapPaperPMID 40314865Full record

ReviewMedical oncology (Northwood, London, England)2025

The evolving landscape of oncolytic virus immunotherapy: combinatorial strategies and novel engineering approaches.

Mujibullah Sheikh, Arshiya Saiyyad, Aimé Aliunui, Pranita S Jirvankar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mujibullah SheikhDatta Meghe College of Pharmacy DMIHER (Deemed to be University), Wardha, Maharashtra, 442001, India. mujib123sheikh@gmail.com.
Arshiya SaiyyadDatta Meghe College of Pharmacy DMIHER (Deemed to be University), Wardha, Maharashtra, 442001, India.
Aimé AliunuiDatta Meghe College of Pharmacy DMIHER (Deemed to be University), Wardha, Maharashtra, 442001, India.
Pranita S JirvankarDatta Meghe College of Pharmacy DMIHER (Deemed to be University), Wardha, Maharashtra, 442001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncolytic viruses (OVs) are a promising class of cancer therapy, exploiting their abilities to selectively infect and kill cancer cells while stimulating antitumor immune responses. The current assessment explores the changing horizons of OV immunotherapy, focusing on recent advances in technology plans to improve OV projects and combined approaches to improve curative efficacy. We discuss how OVs induce direct oncolysis and promote the release of tumor-associated antigens, leading to the activation of both innate and adaptive immunity. Special attention shall be given to programs for arm OVs to express curative genes, modify the tumor microenvironment and overcome immunosuppression. Moreover, we assess the synergies of uniting OVs with other immunotherapeutic techniques, such as immune checkpoint inhibitors and cell therapy, to improve tolerant outcomes. The present assessment provides an understanding of the relevant declaration of the OV analysis, highlighting the main obstacles and the future directions for the development of other capable and targeted cancer immunotherapy.

Indexed as

ImmunotherapyNeoplasmsOncolytic VirotherapyOncolytic VirusesAnimalsCombined Modality TherapyHumansTumor MicroenvironmentAdaptive immunityAntitumor immunityCancer immunotherapyDirect oncolysisImmunomodulationInnate immunityOncolytic viruses (OVs)Tumor microenvironment (TME)Virotherapy

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.